SIGNAL PROCESSING FOR ENHANCED TISSUE IMAGING

增强组织成像的信号处理

• 批准号: 6327603
• 负责人: P M SHANKAR
• 金额: $ 26.78万
• 依托单位: DREXEL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-07-03 至 2001-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6327603
• 关键词: bioimaging /biomedical imaging; breast neoplasm /cancer diagnosis; breast neoplasms; clinical biomedical equipment; human data; image enhancement; image processing; liver neoplasms; mathematical model; method development; model design /development; neoplasm /cancer classification /staging; neoplasm /cancer diagnosis; noninvasive diagnosis; statistics /biometry; ultrasonography

The primary goal of the project is to characterize the tissue based on the ultrasonic echo from the insonated tissue regions. The regions of the tissue will be classified as normal and abnormal based on a set of criteria that will be developed on the basis of the proposed investigations. The proposed research is based on the premise that the ultrasound echo from liver as well as breast tissue may be modeled using the K-distribution. The parameter of the K-distribution appears to hold information on the nature of the tissue, normal or abnormal, or benign or malignant. Further more, the non-Rayleigh nature of the echo could be extended to include the effect of the phase statistics and its relationship to the diseased and normal tissue. These non-Rayleigh aspects of the back-scattered echo, in terms of the envelope and phase information of the B scan image of the tissue, will be extensively used to achieve the major goal of tissue characterization. The efficacy of our techniques will be studied using the standard ROC analyses. Based on the large number of patients as well as multiple scans of the patients, there will be sufficient data sets available to make a definitive evaluation of the methodologies developed in this research. The research will be undertaken using the patient data supplied by the clinical core group from Thomas Jefferson University. The techniques developed through this research will therefore be used to propose strategies for the screening of patients for cancer (breast and liver) by examining the ultrasound B-scans. It is hoped that outcomes of this research will be such that a low cost simpler method could be developed for the screening of patients for cancer using ultrasound, a non-ionizing radiation.

该项目的主要目标是根据 超声波回声来自受罪的组织区域。区域 组织将根据一组正常和异常。 将根据提议制定的标准 调查。拟议的研究是基于这样的前提 可以使用肝脏以及乳腺组织的超声回声进行建模 k分布。 k分布的参数似乎存在 有关组织性质，正常或异常或良性或 恶性。此外，回声的非雷利本质可能是 扩展到包括阶段统计及其效果 与患病和正常组织的关系。这些非雷利方面 从信封和相位信息方面 在组织的B扫描图像中，将广泛用于实现 组织表征的主要目标。 我们的技术的功效将使用标准ROC研究 分析。根据大量患者以及多次扫描 在患者中，将有足够的数据集来制作 对本研究开发的方法的确定评估。 该研究将使用由 托马斯·杰斐逊大学的临床核心小组。技术 因此，通过这项研究开发将用于提出 通过筛查癌症患者（乳腺癌和肝脏）的策略 检查超声波扫描。希望能有结果 研究将使低成本更简单的方法开发 使用超声检查患者的癌症，一种非电离 辐射。